Abstract: In systems and methods, account data associated with one or more account of a first financial institution are received and the account data is stored in a storage device; triggers are identified based on the account data, where the triggers include one or more transactions; external account activity of one or more accounts associated with a second financial institution is determined based on the one or more transactions; and a product recommendation is provided to a user associated with one or more accounts of the first financial institution based on the identified external activity. The systems and methods further provide determining a shift in internal account usage of the one or more accounts associated with the first financial institution based on the one or more transactions.

Abstract: Methods, computer readable media, and apparatuses for analyzing data quality are presented. Transaction information may be received from a database, and the transaction information may describe various aspects of a plurality of transactions handled by an organization. Subsequently, a forecast may be calculated based on the transaction information, and the forecast may predict the future value of a metric. An upper control limit and a lower control limit for the metric may be determined based on the transaction information. Thereafter, the latest actual value of the metric may be computed. A normalized quality score for the metric then may be calculated based on the latest actual value of the metric, the forecast, the upper control limit, and the lower control limit. Optionally, a chart may be generated to evaluate data quality for a plurality of metrics, and metrics that exceed a control limit may be added to an issue log.

Abstract: Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for risk mitigation. Account triggers may be executed to determine account activity indicative of a risk event. Once a risk event is identified, the financial institution may determine an appropriate action to mitigate foreseeable risk due to the risk event.

Abstract: Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for monitoring of one or more accounts of a financial institution. Triggers may be executed to monitor financial account ratios. Offers may be triggered based on the account ratios or changes in the account ratios.

Abstract: Systems and methods for providing offers associated with one or more accounts of a financial institution is provided herein. The system receives account data associated with the one or more accounts; stores the account data in a storage device; identifies account activity for at least one of inbound transactions or outbound transactions based on the account data; and identifies triggers comprising opportunities for providing offers based on the account activity. The system then provides an offer to the user based on the trigger. In some embodiments, the trigger is based on inbound transaction but in other embodiments the trigger is based on outbound transactions. The offer can be specifically related to another party associated with the trigger, e.g., the recipient of a payment, or the offer can be based on the time, amount, or location of the trigger. A computer program product is also provided.

Abstract: Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods develop effective communication routines to aid in trigger delivery. In the systems and methods, account data associated with one or more account are received and the account data is stored in a storage device; patterns of account activity are determined based on the account activity; parameters associated with the patterns of activity are identified; and triggers are formed based on the pattern of account activity and parameters.

Abstract: Systems and methods for retaining users in their existing relationship with a financial institution are provided herein. Based on account data, comparisons of past and current transactional activity are made and a change in account usage is determined. In the systems and methods, account data associated with one or more account are received and the account data is stored in a storage device; a first trigger group comprising one or more transactions occurring during a first period of time and a second trigger group comprising one or more transactions occurring during a second period of time are identified based on the account data; the first trigger group and the second trigger group are compared; and a decrease in account activity for each of the one or more accounts is determined in response to the comparison of the first trigger group and second trigger group.

Abstract: Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for triggering offers based on financial information of one or more accounts of a financial institution customer. Triggers may be executed to monitor hardship trends. If a hardship is identified, the financial institution may present a hardship offer to the customer for assistance.

Abstract: Systems and methods for increasing transaction depth and account breadth are provided herein. In the systems and methods, account data associated with one or more account are received and the account data is stored in a storage device; a first trigger group comprising a number of transactions occurring during a first period of time and a second trigger group comprising a number of transactions occurring during a second period of time based on the account data are identified based on the account data; the first trigger group and the second trigger group are compared; and an increase in account activity for each of the one or more accounts is determined in response to the comparison of the first trigger group and second trigger group.

Abstract: Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for risk mitigation. Account triggers may be executed to determine account activity indicative of a risk event. Once a risk event is identified, the financial institution may determine an appropriate action to mitigate foreseeable risk due to the risk event.

Abstract: Systems and methods for reviewing accounts to enhance user relationships and prevent account loss are provided herein. In the systems and methods, account data associated with one or more account of a first financial institution are received and the account data is stored in a storage device; triggers are identified based on the account data, where the triggers include one or more transactions; external account activity of one or more accounts associated with a second financial institution is determined based on the one or more transactions; and a product recommendation is provided to a user associated with one or more accounts of the first financial institution based on the identified external activity. The systems and methods further provide determining a shift in internal account usage of the one or more accounts associated with the first financial institution based on the one or more transactions.

Abstract: Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for monitoring of one or more accounts of a financial institution. Triggers may be executed to monitor financial account ratios. Offers may be triggered based on the account ratios or changes in the account ratios.

Abstract: Methods, computer readable media, and apparatuses for analyzing data quality are presented. Transaction information may be received from a database, and the transaction information may describe various aspects of a plurality of transactions handled by an organization. Subsequently, a forecast may be calculated based on the transaction information, and the forecast may predict the future value of a metric. An upper control limit and a lower control limit for the metric may be determined based on the transaction information. Thereafter, the latest actual value of the metric may be computed. A normalized quality score for the metric then may be calculated based on the latest actual value of the metric, the forecast, the upper control limit, and the lower control limit. Optionally, a chart may be generated to evaluate data quality for a plurality of metrics, and metrics that exceed a control limit may be added to an issue log.